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BIOINFORMATICS
2005
71views more  BIOINFORMATICS 2005»
14 years 9 months ago
Semi-supervised protein classification using cluster kernels
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
EMMCVPR
2009
Springer
15 years 4 months ago
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
ADCM
2006
74views more  ADCM 2006»
14 years 9 months ago
Linearly constrained reconstruction of functions by kernels with applications to machine learning
This paper investigates the approximation of multivariate functions from data via linear combinations of translates of a positive definite kernel from a reproducing kernel Hilbert...
Robert Schaback, J. Werner
ICPP
2005
IEEE
15 years 3 months ago
LiMIC: Support for High-Performance MPI Intra-node Communication on Linux Cluster
High performance intra-node communication support for MPI applications is critical for achieving best performance from clusters of SMP workstations. Present day MPI stacks cannot ...
Hyun-Wook Jin, Sayantan Sur, Lei Chai, Dhabaleswar...
MICAI
2005
Springer
15 years 3 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...